Fig. 1. Haar-like elementary feature
Fig. 2. Feature Detection using Haar-like
Fig. 3. Cascade Classifier
Fig. 4. 4-way Flood Fill
Fig. 5. Flow Chart of Proposed Method
Fig. 6. Skin Detection using YCbCr
Fig. 7. Noise Removal Image
Fig. 8. Flood Fill Result
Fig. 9. Flood Fill Result(a) Original Image
Fig. 10. Flood Fill Result
Fig. 11. Correction using Flood Fill
Fig. 12. Haar-like Cascade Classifier
Fig. 13. Compared in people image
Fig. 14. Comparing images of objects with human figures
Fig. 15. Comparing Image of Gray Image
Table 1. Comparison with other algorithms
Table 2. Comparison with other Skin Color Extraction
참고문헌
- H. J. Kim, Y. S. Park, K. B. Kim & S. H. Lee. (2019). Modified HOG Feature Extraction for Pedestrian Tracking. Journal of the Korea Convergence Society, 10(3), 39-47. https://doi.org/10.15207/JKCS.2019.10.3.039
- S. K. Pyo, Y. S. Park, G. S. Lee & S. H. Lee. (2019). Hangeul detection method based on histogram and character structure in natural image. Journal of the Korea Convergence Society, 10(3), 15-22. https://doi.org/10.15207/JKCS.2019.10.3.015
- T. H. Yoo, G. S. Lee & S. H. Lee. (2012). Window Production Method based on Low-Frequency Detection for Automatic Object Extraction of GrabCut. Journal of Digital Convergence, 10(8), 211-217 https://doi.org/10.14400/JDPM.2012.10.8.211
- H. H. Han, G. S. Lee, J. Y. Lee & S. H. Lee. (2012). Region Segmentation Technique Based on Active Contour for Object Segmentation, Journal of Digital Convergence, 10(3), 167-172. https://doi.org/10.14400/JDPM.2012.10.3.167
- J. H. Park. (2016). Improved Face Detection Algorithm Using Color Distribution and Shape Characteristics, Graduate dissertation. Kwangwoon University, Seoul
- J. S Oh (2018). Improved Face Detection Algorithm Using Face Verification. Journal of the Korea Institute of Information and Communication Engineering, 22(10), 1334-1339 https://doi.org/10.6109/JKIICE.2018.22.10.1334
- M. A. Turk & A. P. Pentland. (1991). Face recognition using eigenfaces. In Proceedings, 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 586-591). IEEE.
- S. F, Hafez, M. M. Selim & H. H. Zayed. (2015). 2d face recognition system based on selected gabor filters and linear discriminant analysis lda. Conference on Computer Vision and Pattern Recognition. Boston: IEEE
- S. Chang & S. Yoo. (2000). Face Detection Using Color Information,. The Journal of Korean Institute of Communications and Information Sciences, 25(6), 1012-1020.
- R. L. Hsu, M. Abdel-Mottaleb & A. K. Jain. (2002). Face detection in color images. IEEE transactions on pattern analysis and machine intelligence, 24(4), 696-706 https://doi.org/10.1109/34.1000242
- D. N. Chandrappa, M. Ravishankar & D. R. RameshBabu. (2011, April). Face detection in color images using skin color model algorithm based on skin color information. In 2011 3rd International Conference on Electronics Computer Technology. (1, pp. 1988-2018) Kanyakumari : IEEE.
- C. M. Kim & K. W. Lee. (2014). Face Region Detection of a Pedestrian Using Ω-Feature in Video Surveillance System, Journal of KIIT. 14(9), 27-36
- C. A. Perez, V. A. Lazcano & P. A. Estevez. (2007). Real-time iris detection on coronal-axis-rotated faces. IEEE Transactions on Systems, Man, and Cybernetics, Part C(Applications and Reviews), 37(5), 971-978. https://doi.org/10.1109/TSMCC.2007.900647
- W. Chen, T. Sun, X. Yang & L. Wang. (2009, August). Face detection based on half face-template. In 2009 9th International Conference on Electronic Measurement & Instruments. (pp. 4-54). Beijing : IEEE.
- W. Wang & H. Niu. (2012). Face detection based on improved AdaBoost algorithm in E-Learning. In Cloud Computing and Intelligent Systems.2012 IEEE 2nd International Conference on (pp. 924-927). Hangzhou : IEEE.
- D. C. Kim, C. H. Lee, M. H. Choi & Y. H. Haa. (2012). Skin Detection Method using Color Space based Methods and Focus Region. Journal of Korean Society for Imaging Science and Technology, 18(4), 16-22.
- P. Viola & M. J. Lee.(2004). Robust real-time face detection, Proceedings Eighth IEEE International Conference on Computer Vision. (pp. 137-154) Vancouver : IEEE
- I. Kallenbach, R. Schweiger, G. Palm & O. Lohlein. (2006, September). Multi-class object detection in vision systems using a hierarchy of cascaded classifiers. In Intelligent Vehicles Symposium, (pp. 383-387). Tokyo : IEEE.
- E. M. Nosal. (2008, October). Flood-fill algorithms used for passive acoustic detection and tracking. In New Trends for Environmental Monitoring Using Passive Systems, (pp. 1-5). Hyeres : IEEE.